Kaivalya Kubade
Transforming complex raw data into actionable strategic insights. Proficient in Python, SQL, Power BI, and Machine Learning to build automated ETL pipelines, scalable relational models, and high-impact executive dashboards.
Transforming complex raw data into actionable strategic insights. Proficient in Python, SQL, Power BI, and Machine Learning to build automated ETL pipelines, scalable relational models, and high-impact executive dashboards.
Bridging technical computer science rigor with business-centric data analytics and storytelling.
I am a motivated and detail-oriented Data Analytics enthusiast with a strong academic foundation in Information Technology (B.Sc IT, 8.75 CGPA). Having built full-stack web platforms and data pipelines, I understand both how data is created at the application layer and how to clean, model, and visualize it for executive decision-making.
Cleaning messy datasets, handling missing values, normalization, and building automated Python pipelines.
Spotting patterns, correlations, and outliers using Matplotlib, Seaborn, Tableau, and Power BI.
Building supervised machine learning classifiers and regressions with Scikit-learn to forecast outcomes.
Writing complex queries, multi-table joins, subqueries, and window functions in MySQL.
Proficient in modern programming languages, data visualization platforms, relational databases, and web technologies.
Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn for automated ETL, exploratory analysis, and predictive modeling.
Complex queries, INNER/OUTER JOINs, GROUP BY aggregations, subqueries, CTEs, and window functions for analytical querying.
Interactive executive dashboards, star-schema data modeling, custom DAX measures, KPI drill-downs, and automated refresh.
Geographical choropleths, dual-axis timeseries trends, calculated fields, storyboards, and interactive dashboard parameters.
Pivot Tables, Pivot Charts, Power Query ETL, XLOOKUP/VLOOKUP, nested logic, and statistical analysis functions.
Relational schema design, normalization (1NF-3NF), indexing strategies, foreign key constraints, and transactional consistency.
Server-side application logic, database connectivity via PDO, user authentication, session state management, and CRUD portals.
Semantic document structure, responsive layouts (Grid & Flexbox), glassmorphism styling, and accessible UI development.
Real-world data pipelines, interactive BI dashboards, machine learning classifiers, and web applications.
Full-Stack Web
A comprehensive full-stack web application enabling users to browse, book, and manage vehicle rentals online, paired with an administrative control panel for fleet inventory, booking approval, and customer management.
Power BI & Python
An interactive Business Intelligence dashboard analyzing regional sales trends, top-performing product categories, and revenue forecasting using clean retail transaction datasets.
Machine Learning
A supervised machine learning classification model predicting customer churn for a telecom dataset, encompassing exploratory data analysis (EDA), feature engineering, and model evaluation (accuracy, precision, recall).
Tableau & SQL
An end-to-end analytical data pipeline that cleans, queries, and visualizes global COVID-19 case, death, and vaccination data with interactive Tableau dashboards and geographic heatmaps.
Interact directly with live analytical visualizations. Switch between business scenarios to see real-time chart renderings.
Rigorous academic training in Information Technology with consistent top-tier academic excellence.
Cultivated deep foundational expertise across Relational Database Systems, Applied Statistics, Software Engineering, Object-Oriented Programming, and Web Architectures. Led academic capstone projects centered on automated inventory management and data analysis.
Dedicated to staying ahead of evolving data technologies, statistical tools, and business intelligence practices.
Comprehensive training in data cleaning, SQL query formulation, R programming, Tableau visualization, and data ethics.
Data ingestion, Star-schema relational modeling, DAX measure creation, and enterprise report visualization in Power BI.
Hands-on mastery of Pandas, NumPy, Scikit-learn, Seaborn, exploratory data analysis, and predictive classification algorithms.
Advanced SQL querying, Window functions (RANK, DENSE_RANK, LEAD, LAG), schema normalization, and query plan optimization.
Interested in collaborating, discussing data analyst roles, or exploring analytical projects? Send a message!
I am actively exploring entry-level and associate Data Analyst, Business Intelligence, and Data Science positions. Feel free to connect directly!